Triple
T32415050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azure Face API |
E828314
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | facial analysis API |
C58154
|
CONCEPT FINISHED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: facial analysis API Context triple: [Azure Face API, instanceOf, facial analysis API]
-
A.
face attributes dataset
A face attributes dataset is a collection of facial images annotated with labels describing various visual and semantic properties of the faces, such as age, gender, expressions, and accessories.
-
B.
avatar
An avatar is a digital representation or embodiment of a user or character within a virtual or online environment.
-
C.
avatar creation service
A service that enables users to design, customize, and manage digital avatars for use across various applications and platforms.
-
D.
camera feature
A camera feature is a distinct capability or setting of a camera system that enhances how images or videos are captured, processed, or presented.
-
E.
mascara
Mascara is a cosmetic product applied to the eyelashes to darken, lengthen, thicken, and define them.
- F. None of above. chosen
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f34919f300819092b541c6277cd68a |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:54 a.m.